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Genetic variability evaluation and cultivar identification of tetraploid annual ryegrass using SSR markers

Annual ryegrass (Lolium multiflorum) is a widely used cool-season turf and forage grass with high productivity and ornamental characteristics. However, the abundant intra-cultivar genetic variability usually hampers the application of conventional techniques for cultivar identification. The objectiv...

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Autores principales: Nie, Gang, Huang, Ting, Ma, Xiao, Huang, Linkai, Peng, Yan, Yan, Yanhong, Li, Zhou, Wang, Xia, Zhang, Xinquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6756138/
https://www.ncbi.nlm.nih.gov/pubmed/31579612
http://dx.doi.org/10.7717/peerj.7742
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author Nie, Gang
Huang, Ting
Ma, Xiao
Huang, Linkai
Peng, Yan
Yan, Yanhong
Li, Zhou
Wang, Xia
Zhang, Xinquan
author_facet Nie, Gang
Huang, Ting
Ma, Xiao
Huang, Linkai
Peng, Yan
Yan, Yanhong
Li, Zhou
Wang, Xia
Zhang, Xinquan
author_sort Nie, Gang
collection PubMed
description Annual ryegrass (Lolium multiflorum) is a widely used cool-season turf and forage grass with high productivity and ornamental characteristics. However, the abundant intra-cultivar genetic variability usually hampers the application of conventional techniques for cultivar identification. The objectives of this study were to: (1) describe an efficient strategy for identification of six tetraploid annual ryegrass cultivars and (2) investigate the genetic diversity based on SSR markers. A total of 242 reliable bands were obtained from 29 SSR primer pairs with an average of 8.3 bands for each primer pair and the average value of polymorphic information content (PIC) was 0.304. The result of analysis of molecular variance (AMOVA) revealed that 81.99% of the genetic variation occurred in within-cultivars and 18.01% among-cultivars. The principal coordinate analysis (PCoA) showed that the first two principal axes explain 8.57% (PC1) and 6.05% (PC2) of total variation, respectively. By using multi-bulk strategy based on different filtering thresholds, the results suggested that bands frequency of 40% could be used as a reliable standard for cultivar identification in annual ryegrass. Under this threshold, 12 SSR primer pairs (00-04A, 02-06G, 02-08C, 03-05A, 04-05B, 10-09E, 12-01A, 13-02H, 13-12D, 14-06F, 15-01C and 17-10D) were detected for direct identification of six tetraploid annual ryegrass cultivars, which could be incorporated into conservation schemes to protect the intellectual property of breeders, ensure purity for consumers, as well as guarantee effective use of cultivars in future.
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spelling pubmed-67561382019-10-02 Genetic variability evaluation and cultivar identification of tetraploid annual ryegrass using SSR markers Nie, Gang Huang, Ting Ma, Xiao Huang, Linkai Peng, Yan Yan, Yanhong Li, Zhou Wang, Xia Zhang, Xinquan PeerJ Agricultural Science Annual ryegrass (Lolium multiflorum) is a widely used cool-season turf and forage grass with high productivity and ornamental characteristics. However, the abundant intra-cultivar genetic variability usually hampers the application of conventional techniques for cultivar identification. The objectives of this study were to: (1) describe an efficient strategy for identification of six tetraploid annual ryegrass cultivars and (2) investigate the genetic diversity based on SSR markers. A total of 242 reliable bands were obtained from 29 SSR primer pairs with an average of 8.3 bands for each primer pair and the average value of polymorphic information content (PIC) was 0.304. The result of analysis of molecular variance (AMOVA) revealed that 81.99% of the genetic variation occurred in within-cultivars and 18.01% among-cultivars. The principal coordinate analysis (PCoA) showed that the first two principal axes explain 8.57% (PC1) and 6.05% (PC2) of total variation, respectively. By using multi-bulk strategy based on different filtering thresholds, the results suggested that bands frequency of 40% could be used as a reliable standard for cultivar identification in annual ryegrass. Under this threshold, 12 SSR primer pairs (00-04A, 02-06G, 02-08C, 03-05A, 04-05B, 10-09E, 12-01A, 13-02H, 13-12D, 14-06F, 15-01C and 17-10D) were detected for direct identification of six tetraploid annual ryegrass cultivars, which could be incorporated into conservation schemes to protect the intellectual property of breeders, ensure purity for consumers, as well as guarantee effective use of cultivars in future. PeerJ Inc. 2019-09-20 /pmc/articles/PMC6756138/ /pubmed/31579612 http://dx.doi.org/10.7717/peerj.7742 Text en ©2019 Nie et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Agricultural Science
Nie, Gang
Huang, Ting
Ma, Xiao
Huang, Linkai
Peng, Yan
Yan, Yanhong
Li, Zhou
Wang, Xia
Zhang, Xinquan
Genetic variability evaluation and cultivar identification of tetraploid annual ryegrass using SSR markers
title Genetic variability evaluation and cultivar identification of tetraploid annual ryegrass using SSR markers
title_full Genetic variability evaluation and cultivar identification of tetraploid annual ryegrass using SSR markers
title_fullStr Genetic variability evaluation and cultivar identification of tetraploid annual ryegrass using SSR markers
title_full_unstemmed Genetic variability evaluation and cultivar identification of tetraploid annual ryegrass using SSR markers
title_short Genetic variability evaluation and cultivar identification of tetraploid annual ryegrass using SSR markers
title_sort genetic variability evaluation and cultivar identification of tetraploid annual ryegrass using ssr markers
topic Agricultural Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6756138/
https://www.ncbi.nlm.nih.gov/pubmed/31579612
http://dx.doi.org/10.7717/peerj.7742
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